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2,170 results for “clouds”
FIGURE 1. Iochroma amicorum. A. Flowering branch. B. Inflorescence. C. Fruits. D. Corolla atanthesis. From M in A new and endangered species of Iochroma (Solanaceae) from the cloud forests of central Peru and its phylogenetic position in Iochrominae
FIGURE 1. Iochroma amicorum. A. Flowering branch. B. Inflorescence. C. Fruits. D. Corolla atanthesis. From M. Cueva et al. 646. E. Individual with white flowers. From M. Cueva & R. Rivera 620 (photo by Antonio Peña (A), Abel Monteagudo (B), and Marco Cueva (C–E)).
FIGURE 2 in A new species of Camaridium (Orchidaceae: Maxillariinae) from the cloud forests of Colombia
FIGURE 2. Camaridium perezianum in life, type collection. A. Habit. B. Flower, front view. C. Flower, oblique view. D. Labellum, extended. E. Detail of labellum and column, front view. Photos by C. Rincón-Useche and L. Rodríguez-Martínez.
FIGURE 1. Camaridium perezianum. A. Plant habit. B. Flower, front view. C. Flower, oblique view. D. Dissected perianth. E in A new species of Camaridium (Orchidaceae: Maxillariinae) from the cloud forests of Colombia
FIGURE 1. Camaridium perezianum. A. Plant habit. B. Flower, front view. C. Flower, oblique view. D. Dissected perianth. E. Column and detached labellum, side view. F. Extended labellum. G. Column, ventral view. Drawn by L. Rodríguez-Martínez from the holotype.
Data for Aircraft observations of aerosol and microphysical quantities of stratocumulus in autumn over Guangxi Province, China: Diurnal variation, vertical distribution and aerosol-cloud relationship
<p>Data for Aircraft observations of aerosol and microphysical quantities of stratocumulus in autumn over Guangxi Province, China: Diurnal variation, vertical distribution and aerosol-cloud relationship</p>
Simulations in Support of "The Impact of Cloud Microphysics and Ice Nucleation on Southern Ocean Clouds"
<p>Single column model simulations in support of manuscript: The Impact of Cloud Microphysics and Ice Nucleation on Southern Ocean Clouds</p><p>Each simulation is a zip file with prognostic and diagnostic variable outputs as NetCDF files in each zip file. Includes sensitivity tests, timestep tests and baseline simulations used in the paper. </p>
Characteristics of negative cloud-to-ground lightning flashes associated with their peak currents of first return strokes - v2
Open the record for dataset details and reuse information.
FIGURES 25–26. 25 in Three new species of Apotropina Hendel, 1907 (Diptera: Chloropidae) of the Colombian Andean-Amazon cloud forest
FIGURES 25–26. 25, Geographical occurrence for all species of Apotropina of the Colombia; 26, Malaise trap stretched across small stream in habitat of Apotropina longicerci Ramos-Pastrana, Córdoba-Suarez & Riccardi sp. nov., A. ruidosa RamosPastrana, Córdoba-Suarez & Riccardi sp. nov. and A. similis Ramos-Pastrana, Córdoba-Suarez & Riccardi sp. nov.
FIGURES 17–24 in Three new species of Apotropina Hendel, 1907 (Diptera: Chloropidae) of the Colombian Andean-Amazon cloud forest
FIGURES 17–24. Apotropina similis Ramos-Pastrana, Córdoba-Suarez & Riccardi sp. nov. (LEUA-67423). Male. 17, Habitus, left lateral view, black box shows the detail of the tibial organ in the hind tibia; 18, Head, frontal view; 19, Thorax, dorsal view; 20, Wing; 21, Terminalia, lateral view; 22, Terminalia, posterior view; 23, Terminalia, ventral view; 24, Terminalia illustration, ventral view.
FIGURES 9–16 in Three new species of Apotropina Hendel, 1907 (Diptera: Chloropidae) of the Colombian Andean-Amazon cloud forest
FIGURES 9–16. Apotropina ruidosa Ramos-Pastrana, Córdoba-Suarez & Riccardi sp. nov. (LEUA-67353). Male. 9, Habitus, left lateral view, black box shows the detail of the tibial organ in the hind tibia; 10, Head, frontal view; 11, Thorax, dorsal view; 12, Wing; 13, Terminalia, lateral view; 14, Terminalia, posterior view; 15, Terminalia, ventral view; 16, Terminalia illustration, ventral view.
FIGURES 1–8 in Three new species of Apotropina Hendel, 1907 (Diptera: Chloropidae) of the Colombian Andean-Amazon cloud forest
FIGURES 1–8. Apotropina longicerci Ramos-Pastrana, Córdoba-Suarez & Riccardi sp. nov. (LEUA-67440). Male. 1, Habitus, left lateral view, black box shows the detail of the tibial organ in the hind tibia; 2, Head, frontal view; 3, Thorax, dorsal view; 4, Wing; 5, Terminalia, lateral view; 6, Terminalia, posterior view; 7, Terminalia, ventral view; 8, Terminalia illustration, ventral view, the red arrow indicates the central lobe on the inner margin of sternite 6.
Analysis and emissions data for "What can lightning and shipping regulations tell us about aerosols in deeply convecting clouds?"
<p>Analysis scripts and SOx emissions data produced from STEAM emissions model (courtesy of Jukka-Pekka Jalkanen, FMI). Used in "What can lightning and shipping regulations tell us about aerosols in deeply convecting clouds?" submitted to GRL.</p>
Figure data for "Antarctic sea ice surface temperature bias in atmospheric reanalyses induced by the combined effects of sea ice and clouds"
<p>Data supporting figures in the paper "Antarctic sea ice surface temperature bias in atmospheric reanalyses induced by the combined effects of sea ice and clouds" published at <em>Communications Earth & Environment. </em></p>
Sensitivity tests of CAIRT simulated measurements with respect to different parameters using GBB-clouds code.
<p>Sensitivity tests of CAIRT simulated measurements, performed with respect to different parameters. For this purpose, it was changed the density and the composition of the plume for realistic conditions of an ash plume alone, ice cloud alone and ash + ice plume.</p>
Incorporating Hourly Convective Cloud data into Tropical Cyclone Rapid Intensification Forecasting with Machine Learning
<p>These models were developed to predict both the probability of RI and the binary RI classification for tropical cyclones. They are a weighted average of probabilities derived from logistic regression, random forest, decision tree, and extremely randomized tree algorithms within the standard Python scikit-learn package. The uploaded files include the hyperparameters and weights for each individual machine learning model.</p>
Supplemental Data: Rapid Automated Mapping of Clouds on Titan with Instance Segmentation
<p>Supplemental data provided in conjuction with paper submitted to AGU JGR: Machine Learning and Computation.</p>
Importance of Longwave Radiative Forcing by Icy Clouds in Maintaining Miocene High-latitude Warmth
<p>Supporting Information for<strong> Importance of Longwave Radiative Forcing by Icy Clouds in Maintaining Miocene High-latitude Warmth</strong></p> <p>NetCDF files: B.MIO_400_C5.cam2.h0.last50yr_climo_monthly.nc is from our control experiment, and B.MIO_400_C5_MK_TeoKor_Dem1SLF_2.cam2.h0.last50yr_climo_monthly is from our modified experiment.</p> <p>cldwat2m_micro.F90, microp_aero.F90, microp_driver.F90, and zm_conv.F90 are the source code used in our modified experiment. </p> <p> </p>
Data and Code used in "Microphysics regimes due to haze-cloud interactions: cloud oscillation and cloud collapse"
<p>Data and Python Code for figure generation in "Microphysics regimes due to haze-cloud interactions: cloud oscillation and cloud collapse" submitted to Atmospheric Chemistry and Physics</p>
Data and Code for "Updraft Width Modulates Ambient Atmospheric Controls on Convective Cloud Depth" by Varble et al. (2024)
<p>The zip file contains additional data and revised code used in the following paper: Varble, A. C., Feng, Z., Marquis, J. N., Zhang, Z., Geiss, A., Hardin, J. C., & Jo, E. (2024), Updraft Width Modulates Ambient Atmospheric Controls on Deep Convection Depth. Under review in J. Geophys. Res. Atmos.</p> <p>Datasets used in analyses that are derived from observations and model output can be found in the data folder. Python code and notebooks used to derive these datasets and to make all plots in the paper are in the code folder. The cell tracking was performed using PyFLEXTRKR software available here: https://github.com/FlexTRKR/PyFLEXTRKR.</p> <p>Parallax corrected GOES-16 satellite retrievals used in the study are downloadable at doi.org/10.5439/2008448. Taranis C-band radar retrievals are a very large dataset and in the process of being uploaded to the DOE ARM data archive. Interpolated sonde data is downloadable at doi.org/10.5439/1095316. Raw WRF model output is a very large dataset and currently stored at NERSC. To access raw model output or Taranis radar retrievals (before being available via ARM), please contact Adam Varble (adam.varble@pnnl.gov).</p> <p>If you have any further questions, please contact Adam Varble at adam.varble@pnnl.gov.</p>
Datasets and the movie for the manuscript "Cold pools mediate mesoscale adjustments of trade-cumulus fields to changes in cloud-droplet number concentration"
<p>This file contains the basic profiles and time series of cloud-field properties, cloud organization metrics, and cold-pool properties associated with the project titled "Cold pools mediate mesoscale adjustments of trade-cumulus fields to changes in cloud-droplet number concentration".</p> <p>The numbers of simulations 104, 105, 1, 106, 107, and 108 are associated with the cloud-droplet number concentrations Nc of 20, 50, 70, 100, 200, and 1000 /cm3, respectively.</p> <p>The character "-cnstsun" at the end of a file name is related to simulations without the diurnal cycle of solar radiation.</p> <p>The movie (Nc20_Nc1000.mp4) shows the evolution of cloud albedo (1st column), mixed-layer height hmix (2nd column), total moisture anomaly qt' at the 200-m level (3rd column), and the vertical velocity w at the 200-m level (4th column) for simulations with Nc of 20 (1st row) and 1000 (2nd row) /cm3 and without the the diurnal cycle. </p>
Data from: A mistletoe tale: postglacial invasion of Psittacanthus schiedeanus (Loranthaceae) to Mesoamerican cloud forests revealed by molecular data and species distribution modeling
Background: Ecological adaptation to host taxa is thought to result in mistletoe speciation via race formation. However, historical and ecological factors could also contribute to explain genetic structuring particularly when mistletoe host races are distributed allopatrically. Using sequence data from nuclear (ITS) and chloroplast (trnL-F) DNA, we investigate the genetic differentiation of 31 Psittacanthus schiedeanus (Loranthaceae) populations across the Mesoamerican species range. We conducted phylogenetic, population and spatial genetic analyses on 274 individuals of P. schiedeanus to gain insight of the evolutionary history of these populations. Species distribution modeling, isolation with migration and Bayesian inference methods were used to infer the evolutionary transition of mistletoe invasion, in which evolutionary scenarios were compared through posterior probabilities. Results: Our analyses revealed shallow levels of population structure with three genetic groups present across the sample area. Nine haplotypes were identified after sequencing the trnL-F intergenic spacer. These haplotypes showed phylogeographic structure, with three groups with restricted gene flow corresponding to the distribution of individuals/populations separated by habitat (cloud forest localities from San Luis Potosí to northwestern Oaxaca and Chiapas, localities with xeric vegetation in central Oaxaca, and localities with tropical deciduous forests in Chiapas), with post-glacial population expansions and potentially corresponding to post-glacial invasion types. Similarly, 44 ITS ribotypes suggest phylogeographic structure, despite the fact that most frequent ribotypes are widespread indicating effective nuclear gene flow via pollen. Gene flow estimates, a significant genetic signal of demographic expansion, and range shifts under past climatic conditions predicted by species distribution modeling suggest post-glacial invasion of P. schiedeanus mistletoes to cloud forests. However, Approximate Bayesian Computation (ABC) analyses strongly supported a scenario of simultaneous divergence among the three groups isolated recently. Conclusions: Our results provide support for the predominant role of isolation and environmental factors in driving genetic differentiation of Mesoamerican parrot-flower mistletoes. The ABC results are consistent with a scenario of post-glacial mistletoe invasion, independent of host identity, and that habitat types recently isolated P. schiedeanus populations, accumulating slight phenotypic differences among genetic groups due to recent migration across habitats. Under this scenario, climatic fluctuations throughout the Pleistocene would have altered the distribution of suitable habitat for mistletoes throughout Mesoamerica leading to variation in population continuity and isolation. Our findings add to an understanding of the role of recent isolation and colonization in shaping cloud forest communities in the region.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.